Method, device, equipment and medium for treating abnormal temperature of carbon bricks at the bottom of blast furnace

Abstract

The present invention discloses a method, device, equipment and medium for handling abnormal temperature of carbon bricks at the bottom of a blast furnace, and belongs to the technical field of blast furnace ironmaking. The method comprises: obtaining historical temperature data and current temperature data of a monitoring point at the bottom of a blast furnace, wherein the historical temperature data at least includes the average temperature value, the highest temperature value and the lowest temperature value of the monitoring point at the bottom of the blast furnace at normal temperature within a set historical time period; judging whether the temperature of the monitoring point is abnormal based on the historical temperature data and the current temperature data, and determining the abnormal state of the monitoring point; determining the cause of the abnormality based on the abnormal state, wherein different abnormal states correspond to different abnormal causes; generating a processing suggestion based on the abnormal cause, so that an operator performs a corresponding operation based on the processing suggestion. The method can quickly and accurately determine abnormal conditions in the temperature data of the bottom monitoring point, so that an operator can promptly handle the abnormal conditions and reduce safety hazards of the equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of blast furnace ironmaking, and in particular to a method, device, equipment and medium for treating abnormal temperature of carbon bricks at the bottom of a blast furnace. Background Art

[0002] For a blast furnace to achieve efficient production, it must first maintain stability and longevity. The condition of the hearth and bottom is crucial to this stability and longevity, especially in the later stages of a blast furnace's lifespan. In actual production, abnormal thermocouple temperature data often occurs in the later stages of a blast furnace's lifespan due to aging of the thermocouple monitoring equipment for the carbon bricks in the hearth and bottom. If not discovered and addressed promptly, this can lead to incorrect judgments based on the thermocouple temperature and even create safety hazards.

[0003] Currently, blast furnace operators and maintenance personnel primarily rely on manual inspection and observation to confirm whether the furnace bottom carbon brick temperature is abnormal, determine the cause of the abnormality, and then make the next operational plan. However, due to the large number of temperature measurement points, blast furnace operators and maintenance personnel cannot observe such abnormalities in a timely and complete manner through manual confirmation alone. Furthermore, blast furnace operators and maintenance personnel often rely on experience to determine whether the temperature at each measurement point is abnormal. This requires a high level of experience from blast furnace operators and maintenance personnel and can easily lead to inaccurate temperature anomaly determinations. Therefore, a detection method is needed to quickly and accurately determine abnormalities in furnace bottom carbon brick temperature data. Summary of the Invention

[0004] In view of the above problems, the present invention is proposed to provide a method, device, equipment and medium for handling abnormal temperature of carbon bricks at the bottom of a blast furnace that overcomes the above problems or at least partially solves the above problems. The method can quickly and accurately determine the abnormal conditions in the temperature data of the furnace bottom monitoring point, so that the operator can fully understand the abnormal conditions and handle the abnormal conditions in time, thereby reducing the safety hazards of the equipment and increasing the life of the blast furnace.

[0005] In a first aspect, the present invention provides a method for treating abnormal temperature of carbon bricks at the bottom of a blast furnace, the method comprising:

[0006] Obtain historical temperature data and current temperature data of a blast furnace bottom monitoring point, wherein the historical temperature data at least includes an average temperature value, a maximum temperature value, and a minimum temperature value of the blast furnace bottom monitoring point at normal temperature within a set historical time period;

[0007] Determining whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the historical temperature data and the current temperature data;

[0008] Determining the cause of the abnormality according to the abnormal state, where different abnormal states correspond to different causes of the abnormality;

[0009] Based on the cause of the abnormality, a processing suggestion is generated so that the operator can perform corresponding operations according to the processing suggestion.

[0010] Optionally, judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the historical temperature data and the current temperature data include:

[0011] Determining a current temperature value in the current temperature data;

[0012] determining a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value;

[0013] Whether the temperature of the monitoring point is abnormal is judged according to the current temperature value, the first ratio, the second ratio, and the third ratio, and the abnormal state of the monitoring point is determined.

[0014] Optionally, judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the current temperature value, the first ratio, the second ratio, and the third ratio include:

[0015] When the current temperature value is zero or empty, it is determined that the temperature sampling of the monitoring point is abnormal, which is recorded as a first abnormal state;

[0016] When the first ratio is greater than a first ratio threshold, or the second ratio is greater than a second ratio threshold, it is determined that the temperature of the monitoring point is too high, and recorded as a second abnormal state;

[0017] When the third ratio is less than a third ratio threshold, or the first ratio is less than a fourth ratio threshold, it is determined that the temperature of the monitoring point is too low, which is recorded as a third abnormal state.

[0018] Optionally, the method further includes:

[0019] Filter out the current temperature values ​​of multiple monitoring points at the same height and in different radial directions at the bottom of the blast furnace;

[0020] Determining a first radial distance from a first monitoring point to a center point of the furnace bottom, wherein the first monitoring point is a point among the plurality of monitoring points whose temperature is not in the first abnormal state or the second abnormal state;

[0021] Determining a second radial distance from a second monitoring point to the center point of the furnace bottom, where the second monitoring point is any one of the multiple monitoring points;

[0022] According to the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, it is determined whether the temperature of the second monitoring point is abnormal, and the abnormal state of the second monitoring point is determined.

[0023] Optionally, judging whether the temperature of the second monitoring point is abnormal, and determining the abnormal state of the second monitoring point based on the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, includes:

[0024] determining a first current temperature value of the first monitoring point and a second current temperature value of the second monitoring point;

[0025] When the first current temperature value is greater than the second current temperature value and the first radial distance is greater than the second radial distance, it is determined that the temperature of the second monitoring point is too low and is recorded as a fourth abnormal state.

[0026] Optionally, determining the cause of the abnormality according to the abnormal state includes:

[0027] When the abnormal state is the first abnormal state, determining that the abnormal cause is a communication abnormality at the monitoring point or a damage to the thermocouple at the monitoring point;

[0028] When the abnormal state is the second abnormal state, determining that the abnormal cause is a phenomenon of coal gas leakage at the monitoring point or erosion of the hot surface of the carbon brick corresponding to the monitoring point;

[0029] When the abnormal state is the third abnormal state or the fourth abnormal state, it is determined that the abnormal cause is damage to the thermocouple at the monitoring point.

[0030] Optionally, the method further includes:

[0031] Obtain the number of monitoring points at which thermocouples at the same height and the same circumference of the blast furnace bottom and in different radial directions are damaged;

[0032] When the quantity is greater than or equal to a set quantity threshold, it is suggested that the operator add a new thermocouple.

[0033] In a second aspect, the present invention provides a device for controlling abnormal temperature of carbon bricks at the bottom of a blast furnace, the device comprising:

[0034] A temperature acquisition module is used to obtain historical temperature data and current temperature data of a blast furnace bottom monitoring point, wherein the historical temperature data at least includes an average temperature value, a maximum temperature value, and a minimum temperature value of the blast furnace bottom monitoring point at normal temperature within a set historical time period;

[0035] an abnormal state determination module, configured to determine whether the temperature of the monitoring point is abnormal and determine the abnormal state of the monitoring point based on the historical temperature data and the current temperature data;

[0036] an abnormality cause determination module, configured to determine the abnormality cause according to the abnormal state, where different abnormal states correspond to different abnormal causes;

[0037] The processing suggestion generating module is used to generate processing suggestions according to the cause of the abnormality, so that the operator can perform corresponding operations according to the processing suggestions.

[0038] Optionally, the abnormal state determination module includes:

[0039] a current temperature value determining unit, configured to determine a current temperature value in the current temperature data;

[0040] a ratio determining unit, configured to determine a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value;

[0041] The abnormal state determining unit is used to determine whether the temperature of the monitoring point is abnormal and determine the abnormal state of the monitoring point according to the current temperature value, the first ratio, the second ratio and the third ratio.

[0042] Optionally, the abnormal state determining unit is further configured to:

[0043] When the current temperature value is zero or empty, it is determined that the temperature sampling of the monitoring point is abnormal, which is recorded as a first abnormal state;

[0044] When the first ratio is greater than a first ratio threshold, or the second ratio is greater than a second ratio threshold, it is determined that the temperature of the monitoring point is too high, and recorded as a second abnormal state;

[0045] When the third ratio is less than a third ratio threshold, or the first ratio is less than a fourth ratio threshold, it is determined that the temperature of the monitoring point is too low, which is recorded as a third abnormal state.

[0046] Optionally, the device further includes:

[0047] The temperature screening module is used to screen out the current temperature values ​​of multiple monitoring points at the same height and the same circumference but different radial directions of the blast furnace bottom.

[0048] a first radial distance determination module, configured to determine a first radial distance from a first monitoring point to a center point of a furnace bottom, wherein the first monitoring point is a point among the plurality of monitoring points whose temperature is not in the first abnormal state or the second abnormal state;

[0049] A second radial distance determination module is used to determine a second radial distance from a second monitoring point to the center point of the furnace bottom, where the second monitoring point is any one of the multiple monitoring points;

[0050] The second monitoring point abnormality judgment module is used to judge whether the temperature of the second monitoring point is abnormal based on the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, and to determine the abnormal state of the second monitoring point.

[0051] Optionally, the second monitoring point abnormality judgment module is further used to:

[0052] determining a first current temperature value of the first monitoring point and a second current temperature value of the second monitoring point;

[0053] When the first current temperature value is greater than the second current temperature value and the first radial distance is greater than the second radial distance, it is determined that the temperature of the second monitoring point is too low and is recorded as a fourth abnormal state.

[0054] Optionally, the abnormality cause determination module is further configured to:

[0055] When the abnormal state is the first abnormal state, determining that the abnormal cause is a communication abnormality at the monitoring point or a damage to the thermocouple at the monitoring point;

[0056] When the abnormal state is the second abnormal state, determining that the abnormal cause is a phenomenon of coal gas leakage at the monitoring point or erosion of the hot surface of the carbon brick corresponding to the monitoring point;

[0057] When the abnormal state is the third abnormal state or the fourth abnormal state, it is determined that the abnormal cause is damage to the thermocouple at the monitoring point.

[0058] Optionally, the device further includes:

[0059] The thermocouple adding module is used to obtain the number of monitoring points where thermocouples at the same height and in the same circumference of the blast furnace bottom are damaged in different radial directions; when the number is greater than or equal to the set number threshold, it is recommended that the operator add new thermocouples.

[0060] In a third aspect, the present invention provides an electronic device comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method described in the first aspect by executing the computer instructions.

[0061] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0062] The technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0063] The embodiment of the present invention provides a method, device, equipment and medium for handling abnormal temperature of carbon bricks at the bottom of a blast furnace. The method can judge whether the temperature of a monitoring point is abnormal and determine the abnormal state of the monitoring point based on the historical temperature data and current temperature data of the monitoring point at the bottom of the blast furnace, wherein the historical temperature data at least includes the average temperature value, the highest temperature value and the lowest temperature value of the monitoring point at normal temperature within a set historical time period; then, based on the abnormal state of the monitoring point, the cause of the temperature abnormality can be analyzed, and corresponding processing suggestions can be automatically generated based on the cause of the temperature abnormality, so that the operator can perform the next step of the operation for handling the temperature abnormality. The method can quickly and accurately determine the abnormal situation in the temperature data of the bottom monitoring point, so that the operator can fully understand the cause of the abnormality, handle the abnormal situation in a timely manner, reduce the safety hazards of the equipment, and increase the life of the blast furnace.

[0064] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0066] Figure 1 This is a flow chart of a method for handling abnormal temperature of carbon bricks at the bottom of a blast furnace provided by an embodiment of the present invention;

[0067] Figure 2 This is a structural block diagram of a device for processing abnormal temperature of carbon bricks at the bottom of a blast furnace provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0068] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0069] First, the application scenarios involved in the embodiments of the present invention are briefly introduced:

[0070] A blast furnace is a large, closed, continuous reactor that reduces iron ore to molten iron. Within it, gas, solid, and liquid phases coexist constantly. While the vast majority of the world's molten iron is smelted in blast furnaces, the blast furnace remains one of the most complex reactors. Its complex smelting process makes direct monitoring of its internal state difficult. Determining its internal state has long been a key and challenging area of ​​blast furnace research. Analyzing and calculating the blast furnace smelting process using scientific methods and quantitative test data is crucial for efficient blast furnace production.

[0071] For a blast furnace to achieve efficient production, it must first be stable and long-lasting. The health of the hearth and bottom is crucial to its longevity, especially in the later stages of a blast furnace's lifespan. The hearth and bottom are located at the bottom of the blast furnace. The hearth's sidewalls and bottom are constructed of carbon bricks, with thermocouples installed between the bricks. During blast furnace operation, the hearth contains liquid iron and slag. A healthy hearth requires both active operation to ensure the flow of molten iron and slag, while avoiding safety risks such as severe erosion of the hearth's sidewalls and bottom, or gas leakage through gaps in the carbon bricks. The hearth's health is primarily assessed by the temperature of the carbon bricks at the hearth and bottom.

[0072] Many technicians have studied methods for determining the condition of a blast furnace hearth by measuring the temperature of the carbon bricks at the hearth and bottom of the furnace. However, in actual production, in the later stages of a blast furnace's lifecycle, aging thermocouple monitoring equipment for the hearth and bottom carbon bricks often leads to communication interruptions and corrosion, melting, and short circuits in the thermocouple circuits. This can lead to inaccurate thermocouple temperature data. If these issues are not discovered and addressed promptly, they can lead to errors in judgments based on thermocouple temperature and even pose safety risks.

[0073] Currently, blast furnace operators and maintenance personnel manually confirm whether the furnace bottom carbon brick temperature is abnormal, determine the cause of the abnormality, and then make the next operation plan. However, due to the large number of temperature measurement points, blast furnace operators and maintenance personnel cannot observe such abnormalities in a timely and complete manner through manual confirmation alone. Therefore, a detection method is needed to quickly and accurately determine abnormalities in the furnace bottom carbon brick temperature data.

[0074] In order to solve the above problems, the present application provides a method for handling abnormal temperature of carbon bricks at the bottom of a blast furnace, which can quickly and accurately determine the abnormal conditions in the temperature data of the furnace bottom monitoring point, so that the operator can fully understand the abnormal conditions and deal with them in time, thereby reducing the safety hazards of the equipment and increasing the life of the blast furnace.

[0075] Next, the method for handling abnormal temperature of carbon bricks at the bottom of a blast furnace provided by an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

[0076] Figure 1This is a flow chart of a method for handling abnormal temperature of carbon bricks at the bottom of a blast furnace provided by an embodiment of the present invention. Figure 1 As shown, the method includes:

[0077] Step S110: Acquire historical temperature data and current temperature data of a monitoring point at the blast furnace bottom.

[0078] The historical temperature data includes at least the average temperature value, the highest temperature value and the lowest temperature value of the blast furnace bottom monitoring point at normal temperature within a set historical time period.

[0079] In this embodiment, by establishing a connection with a blast furnace database, historical temperature data of all monitoring points of the blast furnace bottom can be read from the blast furnace database, and current temperature data of all monitoring points can be read in real time.

[0080] In this embodiment, a plurality of monitoring points can be set at different heights and different circumferences of the blast furnace bottom. The monitoring points at the same height and the same circumference are a monitoring group. The number and specific position of each group of monitoring points can be set according to actual conditions. For example, 315 monitoring points at 8 heights and 12 circumferences are set at the furnace bottom, for a total of 96 monitoring groups, each group corresponding to 2 to 5 monitoring points at different radial positions. Among them, the temperature of the monitoring point is collected by a thermocouple arranged between the carbon bricks at the bottom of the blast furnace. Each monitoring point is provided with a point number, and the position of the monitoring point can be determined according to the point number. When the temperature of a monitoring point is abnormal, the position of the abnormal monitoring point can be quickly located according to the point number, helping the operator to deal with the abnormal monitoring point in a timely and accurate manner.

[0081] The frequency of reading real-time data can be set according to actual conditions, for example, once every minute.

[0082] Step S120: judging whether the temperature of the monitoring point is abnormal based on the historical temperature data and the current temperature data, and determining the abnormal state of the monitoring point.

[0083] In this embodiment, a furnace bottom temperature database can be established based on historical temperature data and current temperature data, and a real-time temperature table, an average temperature table, a maximum temperature table, a minimum temperature table and a temperature anomaly mark table can be newly created in the furnace bottom temperature database.

[0084] Among them, the real-time temperature table is used to store the current temperature value and the corresponding point number in the current temperature data; the average temperature table is used to store the average value of normal temperature in the historical temperature data; the maximum temperature table is used to store the highest temperature value and the corresponding point number in the normal temperature in the historical temperature data; the minimum temperature table is used to store the lowest temperature value and the corresponding point number in the normal temperature in the historical temperature data; the temperature anomaly mark table is used to store the mark value of the monitoring point. When the temperature of the monitoring point is normal, the corresponding mark value in the temperature anomaly mark table is 0. When the temperature of the monitoring point is abnormal, the mark value can be other values ​​other than 0, such as 1, 2, etc.

[0085] Optionally, step S120 includes:

[0086] The first step is to determine the current temperature value in the current temperature data, as well as a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value.

[0087] In this embodiment, the first ratio, the second ratio, and the third ratio can more accurately reflect the change in the current temperature of the monitoring point.

[0088] For example, the historical temperature data can be filtered to obtain the historical temperature values ​​of each monitoring point within a set time period before a set time point. Based on the historical temperature values ​​of each monitoring point, the average temperature value, the maximum temperature value, and the minimum temperature value of each monitoring point can be obtained, and then the first ratio, the second ratio, and the third ratio can be calculated. The set time point can be a time point 24 hours before the current time, and the set time period is one year. This makes the obtained average temperature value, the maximum temperature value, and the minimum temperature value more accurate to prevent the influence of abnormal temperature of the monitoring point on these three temperature values.

[0089] The second step is to determine whether the temperature of the monitoring point is abnormal based on the current temperature value, the first ratio, the second ratio and the third ratio, and to determine the abnormal state of the monitoring point.

[0090] Optionally, the second step includes:

[0091] When the current temperature value is zero or empty, it is determined that the temperature sampling of the monitoring point is abnormal, which is recorded as the first abnormal state.

[0092] When the first ratio is greater than the first ratio threshold, or the second ratio is greater than the second ratio threshold, it is determined that the temperature of the monitoring point is too high, which is recorded as a second abnormal state.

[0093] When the third ratio is less than the third ratio threshold, or the first ratio is less than the fourth ratio threshold, it is determined that the temperature of the monitoring point is too low, which is recorded as a third abnormal state.

[0094] The first ratio threshold and the second ratio threshold are greater than 1, and the third ratio threshold and the fourth ratio threshold are less than 1.

[0095] In this embodiment, the temperature measured by the thermocouple will display a specific value under normal circumstances. Therefore, when the measured value is 0 or empty, it indicates that the measured value is abnormal.

[0096] In this embodiment, the mark value of the monitoring point in the first abnormal state can be recorded as 1, the mark value of the monitoring point in the second abnormal state can be recorded as 2, and the mark value of the monitoring point in the third abnormal state can be recorded as 3. Setting the mark values ​​of the monitoring points in different abnormal states to different numbers makes it possible to more intuitively understand the abnormal state of the monitoring point when querying the temperature abnormality mark table.

[0097] For example, when the current temperature values ​​of the thermocouples with the point numbers 0512F, 0502E, and 0605C are 0, it means that the temperatures of these monitoring points are abnormal, and the mark values ​​of 0512F, 0502E, and 0605C are recorded as 1 in the temperature anomaly mark table.

[0098] For example, assuming that the current time is 8:15 on May 22, 2023, the normal temperatures of 315 monitoring points in the time period from 24 hours ago to the previous year (i.e., 8:15 on May 21, 2022 to 8:14 on May 21, 2023) are obtained, and the average temperature value, maximum temperature value and minimum temperature value of each monitoring point are calculated. Among them, the current temperature value of the monitoring point with point number 0502D is 469.7°C, the average temperature value is 378.5°C, and the maximum temperature value is 456.2°C. The calculated first ratio is 1.24, the second ratio is 1.03, and the first ratio threshold is set to 1.2 and the second ratio threshold is set to 1.1. It can be seen that the first ratio is greater than the first ratio threshold, indicating that the temperature of the 0502D monitoring point is too high. At this time, the mark value of 0502D can be recorded as 2 in the temperature anomaly mark table.

[0099] Similarly, when the third threshold is set to 0.91 and the fourth ratio threshold is set to 0.83, analysis shows that no monitoring point has a third ratio less than 0.91 or a fourth ratio less than 0.83. Therefore, the above method determines that there are no monitoring points with too low a temperature. If there are any monitoring points with too low a temperature, the flag value of the monitoring point with too low a temperature can be recorded as 3 in the temperature anomaly flag table.

[0100] In this embodiment, the above method is used to determine whether the temperature of each monitoring point is abnormal, and the monitoring points with abnormal temperatures are recorded in the temperature abnormality mark table, so that the statistics are more comprehensive and the search is more convenient.

[0101] In this embodiment, whether the temperature at the monitoring point is abnormal can also be determined based on a first difference between the current temperature value and the maximum temperature value, and a second difference between the minimum temperature value and the current temperature value. When the first difference is greater than a first difference threshold, the temperature at the monitoring point can be determined to be too high; when the second difference is greater than the second difference threshold, the temperature at the monitoring point can be determined to be too low.

[0102] Optionally, the method further includes:

[0103] The first step is to filter out the current temperature values ​​of multiple monitoring points at the same height and different radial directions of the blast furnace bottom.

[0104] The second step is to determine a first radial distance from the first monitoring point to the center point of the furnace bottom, wherein the first monitoring point is a point among the plurality of monitoring points whose temperature is not in the first abnormal state or the second abnormal state.

[0105] Step 3: Determine a second radial distance from a second monitoring point to the center point of the furnace bottom, wherein the second monitoring point is any one of the multiple monitoring points.

[0106] Step 4: Based on the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, determine whether the temperature of the second monitoring point is abnormal, and determine the abnormal state of the second monitoring point.

[0107] Optionally, the fourth step includes:

[0108] Determine a first current temperature value of the first monitoring point and a second current temperature value of the second monitoring point; when the first current temperature value is greater than the second current temperature value and the first radial distance is greater than the second radial distance, judge that the temperature of the second monitoring point is too low and record it as a fourth abnormal state.

[0109] It can be understood that, in theory, the closer the monitoring point is to the center of the furnace bottom, the higher the temperature. Therefore, the current temperature values ​​of multiple monitoring points at the same height and the same circumference but different radial directions are compared and analyzed. If the current temperature value of the monitoring point near the center of the blast furnace is found to be lower than the current temperature value of the monitoring point near the furnace shell, and the temperature of the monitoring point near the furnace shell is normal, then the temperature of the monitoring point near the center of the blast furnace is too low. If the current temperature value of the monitoring point near the center of the blast furnace is higher than the current temperature value of the monitoring point near the furnace shell, then this is normal. If the temperature of the monitoring point near the furnace shell is too high, there may also be a situation where the current temperature value of the monitoring point near the center of the blast furnace is lower than the current temperature value of the monitoring point near the furnace shell. Therefore, this situation is not recorded as a temperature anomaly. If the temperature of the monitoring point near the furnace shell is too low, and the current temperature value of the monitoring point near the center of the blast furnace is still lower than the current temperature value of the monitoring point near the furnace shell, then it further indicates that the temperature of the monitoring point near the center of the blast furnace is too low. Among them, the mark value of the monitoring point in the fourth abnormal state can be 4.

[0110] In this embodiment, this method can further determine whether there are any monitoring points with excessively low temperatures, making the determination of temperature anomalies more accurate and comprehensive. For example, from 315 monitoring points, 96 sets of temperature monitoring data at 8 heights and 12 circumferential directions are screened. Then, the temperatures of any two monitoring points in each set of monitoring data are compared and analyzed to determine whether there are any monitoring points with excessively low temperatures.

[0111] Step S130: Determine the cause of the abnormality according to the abnormal state, where different abnormal states correspond to different causes of the abnormality.

[0112] In this embodiment, since different abnormal conditions may be caused by different reasons, after determining the abnormal condition, it is necessary to analyze the cause of the abnormal temperature at the monitoring point in order to accurately understand the operating status of the blast furnace. When the abnormal cause indicates that it affects the operation of the blast furnace, corresponding measures must be taken immediately to prevent danger.

[0113] Optionally, step S130 includes:

[0114] When the abnormal state is the first abnormal state, the cause of the abnormality is determined to be communication abnormality at the monitoring point or damage to the thermocouple at the monitoring point; when the abnormal state is the second abnormal state, the cause of the abnormality is determined to be gas leakage at the monitoring point or erosion of the hot surface of the carbon brick corresponding to the monitoring point; when the abnormal state is the third abnormal state or the fourth abnormal state, the cause of the abnormality is determined to be damage to the thermocouple at the monitoring point.

[0115] In this embodiment, when the temperature of the monitoring point is in the first abnormal state, it indicates that the data communication of the monitoring point may be abnormal. If the communication is not abnormal, it indicates that the thermocouple of the monitoring point is damaged.

[0116] In this embodiment, when the temperature of the monitoring point is in the second abnormal state, the heating rate of the monitoring point in the second abnormal state can be further determined. When the heating rate is greater than the set heating rate threshold, it means that the temperature fluctuation of the monitoring point is large, and it is judged that the monitoring point has a gas cross-talk phenomenon; when the heating rate is less than the set heating rate threshold, it means that the temperature fluctuation of the monitoring point is small, and it is judged that the hot surface of the carbon brick corresponding to the monitoring point is eroded.

[0117] The temperature rise rate threshold can be set according to actual conditions. For example, the temperature rise rate threshold is set to 10°C / hour.

[0118] For example, further, the temperature change of the over-temperature monitoring point 0502D is judged, and the temperature data of 0502D in the last hour is read. It is found that the temperature slowly rises from 468.6°C to 469.7°C, with a heating rate of 1.1°C / hour, and the heating rate threshold is 10°C / hour, indicating that the hot surface of the carbon brick corresponding to this point is eroded, and this point is close to the center of the blast furnace, so the mark value corresponding to the 0502D monitoring point is set to 2.

[0119] In this embodiment, when the temperature of the monitoring point is in the third abnormal state or the fourth abnormal state, it indicates that the thermocouple of the monitoring point is damaged, the detected temperature is inaccurate, and cannot be used for judgment by other methods.

[0120] Step S140: Generate a processing suggestion based on the cause of the abnormality, so that the operator can perform corresponding operations according to the processing suggestion.

[0121] In this embodiment, step S140 may include:

[0122] The first step is to generate a first processing suggestion when it is determined that the communication of the monitoring point is abnormal, so that the operator can check the communication status of the monitoring point.

[0123] In this embodiment, when the current temperature value of a monitoring point is 0 or empty, it indicates that the communication at the monitoring point is abnormal. Therefore, it is recommended to check the communication status to restore normal communication. For example, the communication line or communication equipment may be checked. If the inspection finds that the communication line is damaged or the communication equipment is faulty, the communication line or communication equipment may be repaired to restore normal communication.

[0124] In this embodiment, if the communication is found to be normal, it means that the current temperature value is 0 or empty due to damage of the thermocouple.

[0125] In the second step, when it is determined that the thermocouple at the monitoring point is damaged, a second processing suggestion is generated to enable the operator to mark the monitoring point as a damaged monitoring point.

[0126] In this embodiment, when it is determined that the thermocouple at the monitoring point is damaged, it is recommended to mark the monitoring point where the thermocouple is damaged. The temperature value of the damaged monitoring point is not used when calculating the average temperature value in subsequent monitoring, and the temperature value of the damaged monitoring point can no longer be used when judging the status of the blast furnace hearth.

[0127] Step 3: When it is determined that there is gas leakage at the monitoring point or the hot surface of the carbon brick corresponding to the monitoring point is corroded, a third processing suggestion is generated to enable the operator to monitor the gas value at the monitoring point or take measures to reduce the corrosion.

[0128] In this embodiment, when the temperature at a monitoring point is too high, indicating that there is gas cross-contamination at the monitoring point or that the hot surface of the carbon brick corresponding to the monitoring point is eroded, it is recommended to further monitor the gas value at the monitoring point or take measures to reduce erosion of the hearth and bottom. Specifically, if further monitoring reveals that the gas value indicates gas cross-contamination, grouting or other treatment methods can be used to prevent further gas cross-contamination at the monitoring point. When the hot surface of the carbon brick is eroded, the location of the monitoring point is determined. If the monitoring point is close to the center of the blast furnace, measures to reduce erosion of the hearth and bottom can be taken. If the monitoring point is close to the blast furnace shell, the blast furnace needs to further check the cooling water temperature of the hearth and bottom and monitor the corresponding shell temperature to determine whether to reduce the smelting intensity or shut down the furnace for maintenance to ensure safe operation of the blast furnace.

[0129] Optionally, the method further includes:

[0130] Obtain the number of monitoring points at the same height and in the same circumference of the blast furnace bottom where thermocouples are damaged in different radial directions. When the number is greater than or equal to the set threshold, the operator is advised to add new thermocouples.

[0131] In this embodiment, the monitoring points at the same height and the same circumference of the blast furnace bottom in different radial directions are taken as a monitoring group. When the number of monitoring points with damaged thermocouples in the monitoring group is greater than or equal to the set number threshold, it indicates that the number of normal monitoring points in the monitoring group is insufficient, and a fourth processing suggestion is generated, i.e., it is recommended to take advantage of the opportunity of the blast furnace to add new thermocouples at the cold surface of the carbon bricks at the abnormal monitoring points to ensure a more comprehensive detection of the temperature of the furnace bottom, so that the heat flux intensity and erosion state at the place can be more prepared to judge. When the number of monitoring points with damaged thermocouples in the monitoring group is less than the set number threshold, it indicates that the number of normal monitoring points in the monitoring group is sufficient and no processing measures are needed temporarily. Similarly, the same method can be used to analyze each monitoring group.

[0132] The number threshold can be set according to actual conditions. For example, if five monitoring points at different radial positions are set at the same height and in the same direction, the number threshold can be four to ensure that each monitoring group has at least two monitoring points that are functioning normally.

[0133] In this embodiment, the temperature value, abnormal state, abnormal cause and treatment suggestion of the monitoring point with abnormal temperature can be displayed through the human-machine interface.

[0134] For example, the temperature anomaly and treatment suggestions are displayed on the human-machine interface as follows:

[0135] (1) The temperature of 0512F, 0502E, and 0605C is 0. Please check whether the data communication of the monitoring points 0512F, 0502E, and 0605C is normal. If the communication is abnormal, please repair it. If the communication is normal, the thermocouple of the monitoring point is damaged.

[0136] (2) The temperature of 0502D is 469.7℃, which is too high. The hot surface of the carbon brick corresponding to this point is corroded. It is recommended that the blast furnace can take measures to reduce the erosion of the hearth and bottom of the furnace;

[0137] (3) There is no point where the temperature is too low;

[0138] (4) There is currently no temperature group with the number of normal monitoring points less than 2.

[0139] Based on the same inventive concept, the embodiment of the present invention also provides a device for treating abnormal temperature of carbon bricks at the bottom of a blast furnace. Figure 2 This is a structural block diagram of a device for processing abnormal temperature of carbon bricks at the bottom of a blast furnace provided by an embodiment of the present invention. Figure 2 As shown, the device 200 includes: a temperature acquisition module 210, an abnormal state determination module 220, an abnormal cause determination module 230 and a processing suggestion generation module 240.

[0140] A temperature acquisition module 210 is configured to acquire historical temperature data and current temperature data of a monitoring point at the bottom of a blast furnace, wherein the historical temperature data includes at least an average temperature value, a maximum temperature value, and a minimum temperature value of the monitoring point at the bottom of the blast furnace at normal temperature within a set historical time period;

[0141] The abnormal state determination module 220 is used to determine whether the temperature of the monitoring point is abnormal and determine the abnormal state of the monitoring point based on the historical temperature data and the current temperature data;

[0142] The abnormality cause determination module 230 is used to determine the abnormality cause according to the abnormal state, where different abnormal states correspond to different abnormal causes;

[0143] The processing suggestion generating module 240 is used to generate processing suggestions according to the cause of the abnormality, so that the operator can perform corresponding operations according to the processing suggestions.

[0144] Optionally, the abnormal state determination module 220 includes:

[0145] The current temperature value determining unit is used to determine the current temperature value in the current temperature data.

[0146] The ratio determination unit is configured to determine a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value.

[0147] The abnormal state determining unit is used to determine whether the temperature of the monitoring point is abnormal and determine the abnormal state of the monitoring point according to the current temperature value, the first ratio, the second ratio and the third ratio.

[0148] Optionally, the abnormal state determining unit is further configured to:

[0149] When the current temperature value is zero or empty, the temperature sampling of the monitoring point is judged to be abnormal, which is recorded as the first abnormal state;

[0150] When the first ratio is greater than the first ratio threshold, or the second ratio is greater than the second ratio threshold, it is determined that the temperature of the monitoring point is too high, and recorded as a second abnormal state;

[0151] When the third ratio is less than the third ratio threshold, or the first ratio is less than the fourth ratio threshold, it is determined that the temperature of the monitoring point is too low, which is recorded as a third abnormal state.

[0152] Optionally, the device 200 further includes:

[0153] The temperature screening module is used to screen out the current temperature values ​​of multiple monitoring points at the same height and the same circumference but different radial directions of the blast furnace bottom.

[0154] A first radial distance determination module is used to determine a first radial distance from a first monitoring point to a center point of a furnace bottom, wherein the first monitoring point is a point among a plurality of monitoring points whose temperature is not in a first abnormal state or a second abnormal state;

[0155] A second radial distance determination module is used to determine a second radial distance from a second monitoring point to the center point of the furnace bottom, where the second monitoring point is any one of the multiple monitoring points;

[0156] The second monitoring point abnormality judgment module is used to judge whether the temperature of the second monitoring point is abnormal and determine the abnormal state of the second monitoring point based on the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance.

[0157] Optionally, the second monitoring point abnormality judgment module is further used to:

[0158] determining a first current temperature value of the first monitoring point and a second current temperature value of the second monitoring point;

[0159] When the first current temperature value is greater than the second current temperature value and the first radial distance is greater than the second radial distance, it is determined that the temperature of the second monitoring point is too low and is recorded as a fourth abnormal state.

[0160] Optionally, the abnormality cause determination module 230 is further configured to:

[0161] When the abnormal state is the first abnormal state, determining that the abnormal cause is a communication abnormality at the monitoring point or a damage to the thermocouple at the monitoring point;

[0162] When the abnormal state is the second abnormal state, it is determined that the abnormal cause is that there is a gas leakage phenomenon at the monitoring point or the hot surface of the carbon brick corresponding to the monitoring point is eroded;

[0163] When the abnormal state is the third abnormal state or the fourth abnormal state, it is determined that the cause of the abnormality is damage to the thermocouple at the monitoring point.

[0164] Optionally, the device 200 further includes:

[0165] The thermocouple addition module is used to obtain the number of monitoring points where thermocouples are damaged at the same height and in the same circumference of the blast furnace bottom in different radial directions. When the number is greater than or equal to the set threshold, the operator is advised to add new thermocouples.

[0166] It can be understood that the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0167] An embodiment of the present invention further provides an electronic device, which may include a processor and a memory, wherein the processor and the memory may be communicatively connected to each other via a bus or other means.

[0168] The processor may be a central processing unit (CPU) or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0169] The memory may include a large capacity memory for data or instructions. By way of example and not limitation, the memory may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory may include removable or non-removable (or fixed) media. Where appropriate, the memory may be internal or external to the electronic device. In certain embodiments, the memory may be a non-volatile solid-state memory.

[0170] In one embodiment, the memory may be a read-only memory (ROM). In one embodiment, the ROM may be a mask-programmable ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically rewritable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0171] The processor reads and executes computer program instructions stored in the memory to implement any one of the methods for handling abnormal temperature of carbon bricks at the bottom of a blast furnace in the above embodiments.

[0172] In one example, the electronic device may further include a communication interface and a bus. The processor, memory, and communication interface are connected via the bus and communicate with each other. The communication interface is primarily used to enable communication between the various modules, devices, units, and / or devices in the embodiments of this application. Where appropriate, the bus may include one or more buses.

[0173] In addition, in conjunction with the methods for handling abnormal blast furnace bottom carbon brick temperature in the above-mentioned embodiments, embodiments of the present invention may provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when executed by a processor, the computer program instructions implement any of the methods for handling abnormal blast furnace bottom carbon brick temperature in the above-mentioned embodiments.

[0174] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0175] The embodiment of the present invention provides a method, device, equipment and medium for handling abnormal temperature of carbon bricks at the bottom of a blast furnace. The method can judge whether the temperature of a monitoring point is abnormal and determine the abnormal state of the monitoring point based on the historical temperature data and current temperature data of the monitoring point at the bottom of the blast furnace, wherein the historical temperature data at least includes the average temperature value, the highest temperature value and the lowest temperature value of the monitoring point at normal temperature within a set historical time period; then, based on the abnormal state of the monitoring point, the cause of the temperature abnormality can be analyzed, and corresponding processing suggestions can be automatically generated based on the cause of the temperature abnormality, so that the operator can perform the next step of the operation for handling the temperature abnormality. The method can quickly and accurately determine the abnormal situation in the temperature data of the bottom monitoring point, so that the operator can fully understand the cause of the abnormality, handle the abnormal situation in a timely manner, reduce the safety hazards of the equipment, and increase the life of the blast furnace.

[0176] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0177] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0178] It should be noted that the above embodiments illustrate rather than limit the invention, and that a person skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The present invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.

Claims

1. A method for treating abnormal temperature of carbon bricks at the bottom of a blast furnace, characterized in that: The method comprises: Obtain historical temperature data and current temperature data of a blast furnace bottom monitoring point, wherein the historical temperature data at least includes an average temperature value, a maximum temperature value, and a minimum temperature value of the blast furnace bottom monitoring point at normal temperature within a set historical time period; Judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the historical temperature data and the current temperature data; specifically comprising: determining a current temperature value in the current temperature data; determining a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value; judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the current temperature value, the first ratio, the second ratio, and the third ratio; Determining the cause of the abnormality according to the abnormal state, where different abnormal states correspond to different causes of the abnormality; Generate a processing suggestion based on the cause of the abnormality, so that the operator can perform corresponding operations according to the processing suggestion; Among them, judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the current temperature value, the first ratio, the second ratio and the third ratio include: when the current temperature value is zero or empty, judging that the temperature sampling of the monitoring point is abnormal, which is recorded as the first abnormal state; when the first ratio is greater than the first ratio threshold, or the second ratio is greater than the second ratio threshold, judging that the temperature of the monitoring point is too high, which is recorded as the second abnormal state; when the third ratio is less than the third ratio threshold, or the first ratio is less than the fourth ratio threshold, judging that the temperature of the monitoring point is too low, which is recorded as the third abnormal state.

2. The method according to claim 1, characterized in that The method further comprises: Filter out the current temperature values ​​of multiple monitoring points at the same height and in different radial directions at the bottom of the blast furnace; Determining a first radial distance from a first monitoring point to a center point of the furnace bottom, wherein the first monitoring point is a point among the plurality of monitoring points whose temperature is not in the first abnormal state or the second abnormal state; Determining a second radial distance from a second monitoring point to the center point of the furnace bottom, where the second monitoring point is any one of the multiple monitoring points; According to the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, it is determined whether the temperature of the second monitoring point is abnormal, and the abnormal state of the second monitoring point is determined.

3. The method according to claim 2, characterized in that The determining whether the temperature of the second monitoring point is abnormal based on the current temperature values ​​of the first monitoring point and the second monitoring point, and the first radial distance and the second radial distance, and determining the abnormal state of the second monitoring point includes: determining a first current temperature value of the first monitoring point and a second current temperature value of the second monitoring point; When the first current temperature value is greater than the second current temperature value and the first radial distance is greater than the second radial distance, it is determined that the temperature of the second monitoring point is too low and is recorded as a fourth abnormal state.

4. The method according to claim 3, characterized in that The determining the abnormal cause according to the abnormal state includes: When the abnormal state is the first abnormal state, determining that the abnormal cause is a communication abnormality at the monitoring point or a damage to the thermocouple at the monitoring point; When the abnormal state is the second abnormal state, determining that the abnormal cause is a phenomenon of coal gas leakage at the monitoring point or erosion of the hot surface of the carbon brick corresponding to the monitoring point; When the abnormal state is the third abnormal state or the fourth abnormal state, it is determined that the abnormal cause is damage to the thermocouple at the monitoring point.

5. The method according to claim 1, wherein The method further comprises: Obtain the number of monitoring points at which thermocouples at the same height and the same circumference of the blast furnace bottom and in different radial directions are damaged; When the quantity is greater than or equal to a set quantity threshold, it is suggested that the operator add a new thermocouple.

6. A device for treating abnormal temperature of carbon bricks at the bottom of a blast furnace, characterized in that: The device comprises: A temperature acquisition module is used to obtain historical temperature data and current temperature data of a blast furnace bottom monitoring point, wherein the historical temperature data at least includes an average temperature value, a maximum temperature value, and a minimum temperature value of the blast furnace bottom monitoring point at normal temperature within a set historical time period; an abnormal state determination module, configured to determine whether the temperature of the monitoring point is abnormal and determine the abnormal state of the monitoring point based on the historical temperature data and the current temperature data; specifically comprising: determining a current temperature value in the current temperature data; determining a first ratio of the current temperature value to the average temperature value, a second ratio of the current temperature value to the maximum temperature value, and a third ratio of the current temperature value to the minimum temperature value; determining whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the current temperature value, the first ratio, the second ratio, and the third ratio; an abnormality cause determination module, configured to determine the abnormality cause according to the abnormal state, where different abnormal states correspond to different abnormal causes; A processing suggestion generating module is used to generate a processing suggestion based on the cause of the abnormality, so that the operator can perform corresponding operations according to the processing suggestion; Among them, judging whether the temperature of the monitoring point is abnormal and determining the abnormal state of the monitoring point based on the current temperature value, the first ratio, the second ratio and the third ratio include: when the current temperature value is zero or empty, judging that the temperature sampling of the monitoring point is abnormal, which is recorded as the first abnormal state; when the first ratio is greater than the first ratio threshold, or the second ratio is greater than the second ratio threshold, judging that the temperature of the monitoring point is too high, which is recorded as the second abnormal state; when the third ratio is less than the third ratio threshold, or the first ratio is less than the fourth ratio threshold, judging that the temperature of the monitoring point is too low, which is recorded as the third abnormal state.

7. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 5 by executing the computer instructions.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method according to any one of claims 1 to 5.

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